Forecasting US tourist arrivals using optimal singular spectrum analysis
Year of publication: |
2015
|
---|---|
Authors: | Hassani, Hossein ; Webster, Allan D. ; Silva, Emmanuel Sirimal ; Heravi, Saeed M. |
Published in: |
Tourism management : research, policies, practice. - Amsterdam [u.a.] : Elsevier Science, ISSN 0261-5177, ZDB-ID 802245-8. - Vol. 46.2015, p. 322-335
|
Subject: | United States | Tourist arrivals | Tourism demand | Forecasting | Singular Spectrum Analysis | ARIMA | Exponential Smoothing | Neural Networks | Tourismus | Tourism | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Zeitreihenanalyse | Time series analysis | USA | ARMA-Modell | ARMA model | Urlaubsverhalten | Holiday behaviour | Nachfrage | Demand | Internationaler Tourismus | International tourism | Prognose | Forecast |
-
Manisha, Keerti, (2024)
-
Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model
Jackson, E. A., (2019)
-
Forecasting tourism demand to Catalonia : neural networks vs. time series models
Claveria, Oscar, (2014)
- More ...
-
Silva, Emmanuel Sirimal, (2018)
-
Big Data: a big opportunity for the petroleum and petrochemical industry
Hassani, Hossein, (2018)
-
Big Data in fashion : transforming the retail sector
Silva, Emmanuel Sirimal, (2019)
- More ...